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Data Analyst with 9+ years in health data analysis & business intelligence.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Clinician and Data Analyst with a dual background in clinical medicine and AI-powered data analytics. Proficient in transforming complex datasets into actionable insights using SQL, Excel, Power BI, and Python. Experienced in health data analysis, business intelligence, and clinical workflow—offering a rare combination of medical expertise and data-driven decision-making in the Nigerian health tech space.
Bowen University
Bachelor of Medicine and Surgery (MB;BS)
August 1, 2017 – June 30, 2025
Bowen University
BSc Intercalated Biochemistry · Biochemistry
August 1, 2017 – June 30, 2021
Excelerate
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January 1, 2025 – Present
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Lagos Island General Hospital
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January 1, 2025 – Present
Lagos Island, Lagos State, Nigeria
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January 1, 2024 – Present
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January 1, 2023 – Present
India
Data Analytics Certificate
ALX Africa
January 1, 2025 – Present
Millennium Fellowship Certificate
United Nations Academic Impact & MCN
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse experience, including medical internships, data analyst internships, and volunteer roles in maternal health, indicates a broad perspective and a strong drive for social impact. Their involvement in various leadership positions and professional development activities suggests a proactive, engaged, and collaborative individual. The unique blend of medical and data analytics skills positions them as a valuable asset for organizations focused on health tech or data-driven healthcare solutions, demonstrating a strong cultural fit for roles requiring interdisciplinary thinking and problem-solving.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and collaboration skills through various roles (Head of Branding, Co-Director, Campus Director). Their experience in clinical settings suggests resilience, critical thinking, and attention to detail. The ability to work on real-world datasets and integrate AI tools indicates adaptability and a proactive approach to learning. Their volunteer and research roles highlight a commitment to impactful work, which aligns well with operational needs for data-driven decision-making.